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기계학습을 기반으로 한 자외선 경화형 도장의 부착성 불량 위험수준 정량화Quantification of the Risk Level of Adhesion Defect of Ultraviolet Ray Curable Coating based on a Machine Learning Technique

Other Titles
Quantification of the Risk Level of Adhesion Defect of Ultraviolet Ray Curable Coating based on a Machine Learning Technique
Authors
윤주호추병하김병훈
Issue Date
Aug-2021
Publisher
대한산업공학회
Keywords
Penetration Film Thickness; Quality Management; Classification; XGBoost; Risk Level of Adhesion Defect
Citation
대한산업공학회지, v.47, no.4, pp.406 - 413
Indexed
KCI
OTHER
Journal Title
대한산업공학회지
Volume
47
Number
4
Start Page
406
End Page
413
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/108239
DOI
10.7232/JKIIE.2021.47.4.406
ISSN
1225-0988
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COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles

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Kim, Byunghoon
ERICA 공학대학 (DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING)
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